Research on Reversible Visible Watermarking Technique

Xu, Zhongqiu; Li, Liangju; Xie, Guangqiang

doi:10.1007/978-3-642-29087-9_14

Cited by 1 publication

(3 citation statements)

References 13 publications

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“…As an effective method for copyright protection of digital images on the Internet, the Reversible Visible Watermarking (RVW) technique has received more and more attention from researchers all over the world. Several RVW techniques have been proposed in the past [22][23][24]. The concept of reversible visible watermarks was first proposed by IBM in 1997 [26].…”

Section: Related Workmentioning

confidence: 99%

“…endif endfor Generate a binary sequence R using Eq. (22). Decrypted watermark signal W e and obtain the visible watermark W by applying XOR operation to W e and R. Output: visible watermark W and the watermarked image with the visible watermark I v…”

Section: Algorithm 5: Visible Watermark Extractionmentioning

confidence: 99%

“…Early lossless watermarking or reversible watermarking schemes mainly focus on invisible watermarking techniques [18][19][20][21]. During the past decades, researchers have studied various RVW schemes [22][23][24][25][26]. General RVW algorithms (also called removable visible watermarking and lossless visible watermarking) should satisfy some basic requirements including watermark visibility, transparency, robustness, reversibility, and security [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Reversible Visible Watermarking Based on Total Variation for BTC-Compressed Images

Yang¹,

Jiang²,

Zhi-chen³

2023

Computers, Materials &Amp; Continua

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Few previous Reversible Visible Watermarking (RVW) schemes have both good transparency and watermark visibility. An adaptive RVW scheme that integrates Total Variation and visual perception in Block Truncation Coding (BTC) compressed domain, called TVB-RVW is proposed in this paper. A new mean image estimation method for BTC-compressed images is first developed with the help of Total Variation. Then, a visual perception factor computation model is devised by fusing texture and luminance characteristics. An adaptive watermark embedding strategy is used to embed the visible watermark with the effect of the visual perception factor in the BTC domain. Moreover, a lossless embedding method of the encrypted visible watermark is exploited to deter illegal watermark removal. The visible watermark can be removed since the visual perception factor and the estimated mean image remain unchanged before and after watermark embedding. Extensive experiments validate the superiority of the proposed algorithm over previous RVW schemes in BTC in terms of the visual quality of watermarked images and watermark visibility, and it can achieve a good balance between transparency and watermark visibility.

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Section: Related Workmentioning

confidence: 99%

Section: Algorithm 5: Visible Watermark Extractionmentioning

confidence: 99%